• Or ChatGPT is better in Program Verification (Re: John Sowa is close wi

    From Mild Shock@21:1/5 to Mild Shock on Fri Jan 10 23:02:59 2025
    Hi,

    Or ChatGPT is better in Program Verification. Means
    the "Fine Tuning" that ChatGPT has to deal with
    Queries that include programming language fragments

    or tasks, and the generation of programming language
    fragements or tasks is practically already better and
    expected to improve even more:

    - Not an Architecture based on a Symbolic HOL language
    and backend to extract Programming Languages.

    - Not an Architecture that only supports some academic
    "pure" Languages like ML, Haskell, Scala, etc..

    - Rather an Architecture where one can directly interacts
    in the Programming Languages, similar like it deals with
    Natural Language, Pipe Dream Ontologies are not seen.

    - Rather an Architecture that can deal with "impure"
    Languages such as JavaScript, Python, etc.. that are
    imperative and have side effects.

    - What else?

    Bye

    Mild Shock schrieb:
    Hi,

    Interestingly, John Sowa is close with RNT to how
    ChatGPT works . In his LLMs bashing videos, John Sowa
    repeatedly showed brain models in his slides that

    come from Sydney Lamb:

    Relational Network Theory (RNT), also known as
    Neurocognitive Linguistics (NCL) and formerly as
    Stratificational Linguistics or Cognitive-Stratificational
    Linguistics, is a connectionist theoretical framework in
    linguistics primarily developed by Sydney Lamb which
    aims to integrate theoretical linguistics with neuroanatomy. https://en.wikipedia.org/wiki/Relational_Network_Theory

    You can ask ChatGPT and ChatGPT will tell you
    what parallels it sees between LLM and RNT.

    Bye

    P.S.: Here is what ChatGPT tells me about LLM and RNT
    as a summary, but the answer itself was much bigger:

    While there are shared aspects, particularly the
    emphasis on relational dynamics, ChatGPT models are
    not explicitly designed with RNT principles. Instead,
    they indirectly align with RNT through their ability
    to encode and use relationships learned from data.
    However, GPT’s probabilistic approach and reliance
    on large-scale data contrast with the more structured
    and theory-driven nature of RNT. https://chatgpt.com/share/67818fb7-a788-8013-9cfe-93b3972c8114

    I would also put the answer into perspective if one
    include RAG. So with Retrieval Augmented Generation

    things look completely different again.

    Mild Shock schrieb:
    Hi,

    Subject: An Isabelle Foundation?
    Date: Fri, 10 Jan 2025 14:16:33 +0000
    From: Lawrence Paulson via isabelle-dev
    Some of us have been talking about how to keep
    things going after the recent retirement of Tobias and
    myself and the withdrawal of resources from Munich.
    I've even heard a suggestion that Isabelle would not
    be able to survive for much longer.
    https://en.wikipedia.org/wiki/Isabelle_%28proof_assistant%29

    No more money for symbolic AI? LoL

    Maybe suplanted by Lean (proof assistant) and my
    speculation maybe re-orientation to keep up with
    Hybrid methods, such as found in ChatGPT.
    https://en.wikipedia.org/wiki/Lean_%28proof_assistant%29

    Bye


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